Triple
T13486594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Lot Like Love |
E318518
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Emily Friehl
Emily Friehl is a free-spirited, aspiring actress and photographer who forms a years-long, will-they-won’t-they romantic connection with Oliver in the film "A Lot Like Love."
|
E1087280
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Emily Friehl | Statement: [A Lot Like Love, mainCharacter, Emily Friehl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Friehl Context triple: [A Lot Like Love, mainCharacter, Emily Friehl]
-
A.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
B.
Julie Naschauer
Julie Naschauer was the wife of Theodor Herzl, the Austro-Hungarian journalist and founder of modern political Zionism.
-
C.
Julie Naschauer
Julie Naschauer is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
-
D.
Kelly Rohrbach
Kelly Rohrbach is an American model and actress best known for her role as C.J. Parker in the 2017 film adaptation of "Baywatch."
-
E.
Stefanie Ehrlich
Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Emily Friehl Triple: [A Lot Like Love, mainCharacter, Emily Friehl]
Generated description
Emily Friehl is a free-spirited, aspiring actress and photographer who forms a years-long, will-they-won’t-they romantic connection with Oliver in the film "A Lot Like Love."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emily Friehl Target entity description: Emily Friehl is a free-spirited, aspiring actress and photographer who forms a years-long, will-they-won’t-they romantic connection with Oliver in the film "A Lot Like Love."
-
A.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
B.
Julie Naschauer
Julie Naschauer was the wife of Theodor Herzl, the Austro-Hungarian journalist and founder of modern political Zionism.
-
C.
Julie Naschauer
Julie Naschauer is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
-
D.
Kelly Rohrbach
Kelly Rohrbach is an American model and actress best known for her role as C.J. Parker in the 2017 film adaptation of "Baywatch."
-
E.
Stefanie Ehrlich
Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3a15b48190b63fb59e926a97ae |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd27f43bf081908dea65dc05f7c1a2 |
completed | May 8, 2026, 12:01 a.m. |
| NEDg | Description generation | batch_69fd2aeea5808190bf350b25f520e6d4 |
completed | May 8, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2b57474881909f780cf51c2e06a3 |
completed | May 8, 2026, 12:16 a.m. |
Created at: April 9, 2026, 9:42 p.m.